Objective To investigate the effect of teaching method using students as standardized patients on clinical practice teaching of neurology.Methods We randomly assigned 80 undergraduate majoring in clinical medicine into two groups:a control group where students were instructed with traditional clinical teaching methods,and an experimental group where students acted as standardized patients.Following the clinical placement,we administered an Objective Structured Clinical Exam-ination(OSCE)and a satisfaction survey to all participants.Results The experimental group performed significantly better than the control group in history taking and neurological examination in the OSCE(P＜0.05).The results of the questionnaire showed that the experimental group scored significantly higher than the control group in improving clinical thinking,stimulating learning interest,and improving communication skills(P＜0.05).Conclusion The teaching methods using student as standardized pa-tients in the process of clinical practice in neurology helps to improve the history taking and neurological physical examination skills of clinical students,yielding good educational outcomes.

Objective:To investigate risk factors for vascular cognitive impairment(VCI)in elderly patients 12-18 months after the onset of acute partial anterior circulation infarction(PACI), and to establish a diagnostic and predictive model.Methods:This was a prospective study. Demographic characteristics, vascular risk factors and laboratory data of 148 patients with acute PACI were collected, and patients were followed up for 12-18 months.The Montreal Cognitive Assessment Scale(MoCA)was used to evaluate patients' cognitive function.Logistic stepwise regression was used to screen risk factors for VCI.We established a diagnostic and predictive model.The area under the receiver operating(ROC)curve(AUC)was used to evaluate the efficiency of the model.Results:A total of 126 subjects completed the 12-18 month follow-up.Multivariate logistic regression analysis found that high homocysteine(Hcy)( OR=1.082, 95% CI: 1.002-1.167), high glycated hemoglobin(HbA1c)( OR=1.653, 95% CI: 1.052-2.598), high National Institutes of Health Stroke Scale(NIHSS)score( OR=1.291, 95% CI: 1.098-1.518), high hypersensitive C-reactive protein(hs-CRP)( OR=1.026, 95% CI: 1.005-1.047)and low education level( OR=2.485, 95% CI: 1.231-5.018)were independent risk factors for VCI in patients 12-18 months after PACI( P<0.05). The AUC of the diagnostic and predictive model was 0.828(95% CI: 0.755-0.902). Conclusions:High Hcy, NIHSS score, hs-CRP and low education level are independent risk factors for VCI in patients 12-18 months after PACI.The diagnostic and predictive model can help to screen patients at high-risk for VCI, so that timely clinical recognition, diagnosis and treatment can be made after acute PACI.

Objective:We aimed to develop a novel visualized model based on nomogram to predict postoperative overall survival.Methods:This was a multicenter, retrospective, observational cohort study, including participants with histologically confirmed gastric and colorectal cancer who underwent radical surgery from 11 medical centers in China from August 1, 2015 to June 30, 2018. Baseline characteristics, histopathological data and nutritional status, as assessed using Nutrition Risk Screening 2002 (NRS 2002) score and the scored Patient-Generated Subjective Global Assessment, were collected. The least absolute shrinkage and selection operator regression and Cox regression were used to identify variables to be included in the predictive model. Internal and external validations were performed.Results:There were 681 and 127 patients in the training and validation cohorts, respectively. A total of 188 deaths were observed over a median follow-up period of 59 (range: 58 to 60) months. Two independent predictors of NRS 2002 and Tumor-Node-Metastasis (TNM) stage were identified and incorporated into the prediction nomogram model together with the factor of age. The model's concordance index for 1-, 3- and 5-year overall survival was 0.696, 0.724, and 0.738 in the training cohort and 0.801, 0.812, and 0.793 in the validation cohort, respectively.Conclusions:In this study, a new nomogram prediction model based on NRS 2002 score was developed and validated for predicting the overall postoperative survival of patients with gastric colorectal cancer. This model has good differentiation, calibration and clinical practicability in predicting the long-term survival rate of patients with gastrointestinal cancer after radical surgery.